ArticleFrontiers in public health2026
Multi-dimensional sleep patterns predict complications and mortality in chronic kidney disease patients: a prospective study from the UK Biobank.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The complex interplay of multiple sleep factors may affect the risk of complications and mortality in the chronic kidney disease (CKD) population. However, few studies have examined multi-dimensional sleep health in CKD populations. Methods: Our cohort study included 15,809 participants with laboratory-observed kidney dysfunction or a CKD diagnosis during 2006-2010 from the UK Biobank. Incidence of adverse outcomes was identified via the International Classification of Diseases, 10th Edition (ICD-10) till 2022. The multi-dimensional sleep health was evaluated through an Results: A total of 2,416 deaths, 2,343 anemia, 4,087 CVD, 940 cognitive impairment, and 314 hyperparathyroidism occurred during the follow-up. After adjusting for potential confounders, higher SHS was significantly associated with decreased risks of anemia, CVD, and hyperparathyroidism (all Conclusion: Poor multi-dimensional sleep health, either estimated by SHS or characterized by sleep clusters, was associated with poor prognosis in the CKD population. The specific sleep profiles in the CKD population contribute to pinpointing high-risk subgroups and providing targeted interventions.
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